Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

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* = applied session ! = JSM meeting theme

Activity Details

14 *	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Bayesian Analysis Methods for Contemporary Study Designs in Toxicological Risk Assessment — Invited Papers
Section on Risk Analysis, Section on Statistics and the Environment, Section on Bayesian Statistical Science
Organizer(s): Michael Pennell, Ohio State University
Chair(s): Michael Pennell, Ohio State University
10:05 AM	Toxicity Modeling and Risk Assessment Using Functional Data from Diverse Populations Dong Wang, FDA National Center for Toxicological Research
10:30 AM	Bayesian Latent Loading Functional Regression for High-Throughput Bioassays Matthew Wheeler, National Institute for Occupational Safety and Health; Michael Pennell, Ohio State University
10:55 AM	An Exploration of the Effects of Multiple Exposures on Birth Outcomes: A Bayesian Regularized Mediation Analysis Yu-Bo Wang, Clemson University; Zhen Chen, NICHD/NIH; Cuilin Zhang, NICHD/NIH
11:20 AM	Structural Equation Models for Environmental Health Outcomes Presentation Federico Ferrari, Duke University
11:40 AM	Floor Discussion

20 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Remote Sensing and Public Health: Statistical Challenges and Opportunities — Invited Papers
American Public Health Association, Section on Statistics in Epidemiology, Section on Statistics and the Environment
Organizer(s): Jonathan Hobbs, Jet Propulsion Laboratory
Chair(s): Colin Lewis-Beck, University of Iowa
10:05 AM	Parameter Selection and Uncertainty Quantification of Satellite-Retrieved Aerosol Properties Meredith Franklin, University of Southern California
10:40 AM	Bayesian Hierarchical Models for Combining Monitoring Measurement, Satellite Imagery, and Model Simulation Howard Chang, Emory University; Nancy Murray, Emory University
11:15 AM	Discussant: Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
11:35 AM	Floor Discussion

36	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
ENVR Student Paper Awards — Topic Contributed Papers
Section on Statistics and the Environment
Organizer(s): Ephraim Hanks, The Pennsylvania State University
Chair(s): Hossein Rekabdarkolaee
10:05 AM	Flexible Modeling of Variable Asymmetries in Cross-Covariance Functions for Multivariate Random Fields Ghulam Qadir, King Abdullah University of Science and Technology; Ying Sun, King Abdullah University of Science and Technology (KAUST); Carolina Euán, King Abdullah University of Science and Technology (KAUST)
10:25 AM	Assessing the Risk of Disruption of Wind Turbine Operations in Saudi Arabia Using Bayesian Spatial Extremes Presentation Wanfang Chen, KAUST; Stefano Castruccio, University of Notre Dame; Marc Genton, KAUST
10:45 AM	Statistical Downscaling with Spatial Misalignment: Application to Wildland Fire PM2.5 Concentration Forecasting Suman Majumder, North Carolina State University; Yawen Guan, University of Nebraska-Lincoln; Brian Reich, North Carolina State University; Susan O'Neill, United States Forest Service; Ana G. Rappold, United States Enviromental Protection Agency
11:05 AM	Mechanistic Models for Spatial Data from Ornstein-Uhlenbeck Processes Nathan Wikle, Pennsylvania State University; Ephraim Hanks, The Pennsylvania State University; Corwin Zigler, University of Texas at Austin
11:25 AM	PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models Ben Seiyon Lee, Penn State University; Murali Haran, Pennsylvania State University
11:45 AM	Floor Discussion

72	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Methods for Extreme Values in Environmental Data — Contributed Papers
Section on Statistics and the Environment
Chair(s): Ephraim Hanks, The Pennsylvania State University
	Modeling Spatial-Temporal Extremes Using Normal Mean-Variance Mixtures Zhongwei Zhang, KAUST; Raphael Huser, King Abdullah University of Science and Technology (KAUST); Jennifer Wadsworth, Lancaster University; Thomas Opitz, INRA
	Data from the Housetops: Creating a Unified Set of Design Snow Load Requirements for the United States Presentation Brennan Bean; Marc Maguire, University of Nebraska - Lincoln; Yan Sun, Utah State University; Jadon Wagstaff, Utah State University; Salam Al-Rubaye, University of Nebraska - Lincoln; Jesse Wheeler, Utah State University; Miranda Rogers, Utah State University; Scout Jarman, Utah State University
	Flexible Modeling of Multivariate Spatial Extremes Yan Gong, KAUST; Raphael Huser, King Abdullah University of Science and Technology (KAUST)
	Modeling Non-Stationary Temperature Extremes with Level-Dependent Extremal Dependence Peng Zhong, KAUST; Raphael Huser, King Abdullah University of Science and Technology (KAUST); Thomas Opitz, BioSP, INRAE, Avignon
	Modeling First Arrival of Migratory Birds Using a Hierarchical Max-Infinitely Divisible Process Dhanushi Wijeyakulasuriya, Pennsylvania State University; Benjamin A Shaby, Colorado State University; Ephraim Hanks, The Pennsylvania State University
	Reference Priors for the Generalized Extreme Value Distribution Likun Zhang, Penn State University; Benjamin A Shaby, Colorado State University
	Tornado: Classification, Correlation, Prediction Presentation Thilini Vasana Mahanama, Texas Tech University; Dimitri Volchenkov, Texas Tech University

84	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Contributed Poster Presentations: Section on Statistics and the Environment — Contributed Poster Presentations
Section on Statistics and the Environment
1:	Correlation-Based Sparse Cholesky Factorization for Nonisotropic Gaussian Processes Myeongjong Kang, Texas A&M University; Matthias Katzfuss, Texas A&M University
2:	Ensemble Kalman Filter Updates Using Regularized Sparse Inverse Cholesky Factors Will Boyles, Texas A&M University; Matthias Katzfuss, Texas A&M University
3:	Covariance Models on Temporal Networks Jun Tang, University of Iowa; Dale Zimmerman, University of Iowa
4:	Optimal Sampling Regimes for Estimating Predator-Prey Dynamics Rebecca Bergee, Doctoral Student - Systems Modeling & Analysis Virginia Commonwealth University
5:	Quantifying Spatial Variability of Errors in Tropical Cyclone Rainfall Forecasts Stephen Walsh, Virginia Tech; Marco Ferreira, Virginia Tech; Dave Higdon, Virginia Tech; Stephanie Zick, Virginia Tech
6:	Estimation of Precipitation and No Precipitation Areas Using Spatial Classification Melissa Innerst, Juniata College; Kyuhee Shin, Kyungpook National University; Bo-Young Ye, Kyungpook National University; GyuWon Lee, Kyungpook National University; Joon Jin Song, Baylor University
7:	Modeling Global Surface Temperature as a Function of Carbon Dioxide Emissions via a Varying Coefficient Model Xiyan Tan, Clemson University; Colin Gallagher, Clemson University
8:	Modeling the Rodent Estrous Cycle with a Continuous-Time Markov Chain Gary Larson, Social & Scientific Systems; Sandra McBride, Social & Scientific Systems; Keith Shockley, NIEHS; Helen Cunny, NIEHS
10:	Supervised Classification of Animal Accelerometer Data Using Hidden Semi-Markov Models Sofia Ruiz Suarez, INIBIOMA (CONICET-Universidad Nacional del Comahue), Rio Negro, Argentina; Vianey Leos Barajas, North Carolina State University
11:	Wildlife Population Modeling Using Aerial Imagery Data and Bayesian Deduplication Xinyi Lu; Mevin Hooten, Colorado State University
12:	Statistical Downscaling for Spatially Misaligned Binary Data Minho Kim, Baylor University; Kyuhee Shin, Kyungpook National University; GyuWon Lee, Kyungpook National University; Joon Jin Song, Baylor University
13:	Animal Location Estimation and Movement Modeling Using Received Signal Strength (RSS) Gang Han, Iowa State University; PHILIP DIXON, Iowa State University
14:	sPLS-DA to discriminate time series Sandra Ramirez, 1. Universidad Politécnica de Valencia, España & Pontificia Universidad Javeriana Seccional Cali; Fernando-Juan García-Diego, Pontificia Universidad Javeriana seccional Cali, Colombia; Manuel Zarzo, Pontificia Universidad Javeriana seccional Cali, Colombia; Angel Fernández-Navajas, Pontificia Universidad Javeriana seccional Cali, Colombia
15:	Multi-Scale Vecchia Approximation of Gaussian Processes Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University

106 *	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
AI and Deep Models for Spatial and Spatio-Temporal Data — Invited Papers
Section on Statistics and the Environment
Organizer(s): Andrew Zammit-Mangion, University of Wollongong
Chair(s): Sudipto Banerjee, UCLA School of Public Health
1:05 PM	Inverse Reinforcement Learning with Uncertainty Quantification for Resource Selection in Collective Animal Systems Christopher Wikle, University of Missouri; Toryn Schafer, University of Missouri
1:35 PM	Random Forests in Spatial Mixed Models Abhi Datta, Johns Hopkins University; Arkajyoti Saha, Johns Hopkins University; Sumanta Basu, Cornell University
2:05 PM	Deep Learning for Extreme Weather Detection Presentation Mr Prabhat, Lawrence Berkeley National Laboratory; Karthik Kashinath, Lawrence Berkeley National Lab; Michael Wehner, Lawrence Berkeley National Lab; William Collins, Lawrence Berkeley National Lab
2:35 PM	Floor Discussion

138	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Digging into Models: Statistical Theory Inspired by Environmental Applications — Invited Papers
Section on Statistics and the Environment, International Indian Statistical Association, IMS
Organizer(s): William Kleiber, University of Colorado
Chair(s): Douglas Nychka, Colorado School of Mines
10:05 AM	Change-Set Analysis and Related Asymptotics with Application to Spatial Clustering in Environmental Health Jun Zhu, University of Wisconsin; Pei-Sheng Lin, National Health Research Institutes
10:30 AM	Inverse and Decorrelating Operators for Matern Covariances Joseph Guinness, Cornell University
10:55 AM	Whittle Likelihood for Irregularly Spaced Spatial Data Soutir Bandyopadhyay, Colorado School of Mines
11:20 AM	The Matérn Covariance Function on the Sphere Emilio Porcu, Trinity College at Dublin
11:45 AM	Floor Discussion

144 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Advances in Climate Informatics — Invited Papers
Section on Statistics and the Environment, ASA Advisory Committee on Climate Change Policy, Section on Risk Analysis
Organizer(s): Brian Reich, North Carolina State University
Chair(s): Brian Reich, North Carolina State University
10:05 AM	Fast Computing for Hierarchical Spatial Models, with an Application to Ice Sheet Models Murali Haran, Pennsylvania State University; Ben Seiyon Lee, Penn State University
10:30 AM	Statistical Deep IDE Models for Spatio-Temporal Forecasting Andrew Zammit-Mangion, University of Wollongong; Christopher Wikle, University of Missouri
10:55 AM	Contained Chaos: Ensemble Consistency Testing for Climate Models Dorit Hammerling, Colorado School of Mines; Galen Vincent, Colorado School of Mines; Allison Baker, National Center for Atmospheric Research
11:20 AM	Parametric Models for Distributions When Extremes Are of Interest Michael Stein, Rutgers University
11:45 AM	Floor Discussion

166 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Understanding Mixtures in Environmental Epidemiology — Topic Contributed Papers
Section on Statistics in Epidemiology, Section on Statistics and the Environment
Organizer(s): Katherine Ensor, Rice University
Chair(s): Katherine Ensor, Rice University
10:05 AM	Bayesian Joint Modeling of Chemical Structure and Dose Response Curves Presentation Kelly R. Moran, Duke University; Amy Herring, Duke University; David Dunson, Duke University
10:25 AM	Principal Component Pursuit for Pattern Identification in Environmental Health Elizabeth A Gibson, Columbia University, Dept of Environmental Health Sciences; Jingkai Yan, Columbia University, Data Science Institute; Robert Colgan, Columbia University, Data Science Institute; John Wright, Columbia University, Data Science Institute; Jeff Goldsmith, Columbia University Mailman School of Public Health; Marianthi-Anna A Kioumourtzoglou, Columbia University, Dept of Environmental Health Sciences
10:45 AM	Estimation of the Total Main and Interaction Effects of a Mixture of Pollutants. Hua Yun Chen, University of Illinois At Chicago; Xuelong Wang, University of Illinois at Chicago; Mary Turyk, University of Illinois at Chicago; Maria Argos, University of Illinois at Chicago; Vectoria Persky, University of Illinois at Chicago
11:05 AM	A Cross-Validated Ensemble Approach to Robust Hypothesis Testing of Continuous Nonlinear Interactions: Application to Nutrition-Environment Studies Jeremiah Liu; Brent Coull, Harvard University
11:25 AM	Discussant: Bonnie R. Joubert, NIH/NIEHS Population Health Branch and Epidemiology
11:45 AM	Floor Discussion

207 *	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Ecology and Animal Movement — Contributed Papers
Section on Statistics and the Environment
Chair(s): Nathan Wikle, Pennsylvania State University
	A Generalized Nonlinear Modeling Approach Can Solve the Prediction Problem for Data from Species-Stratified Use-Availability Designs Nels Johnson, US Forest Service, Pacific Southwest Research Station; Matthew Williams, National Center for Science and Engineering Statistics, National Science Foundation; Erin Riordan, University of Arizona
	A Bayesian Spatio-Temporal Model for Collective Movement Shuwan Wang, University of Missouri; Athanasios Micheas, University of Missouri; Christopher Wikle, University of Missouri
	State Space Assessment on the Impact of Sea Surface Temperature on Fishing Effort in Continental US Exclusive Economic Zone Mingzhao Hu, University of California, Santa Barbara; Qutu Jiang, Ocean College, Zhejiang University
	Modeling Migratory and Non-Migratory Movement of Golden Eagles Elizabeth Eisenhauer, Pennsylvania State University; Ephraim Hanks, The Pennsylvania State University
	Using State-Space Models on Repeated Wildlife Count Surveys Presentation Mark C. Otto, Fish and Wildlife Service
	A Bayesian Non-Parametric Approach for Animal Movement: Application to Elk Movement in the GYE Sahar Zarmehri, Penn State; Ephraim Hanks, The Pennsylvania State University; Lin Lin, The Pennsylvania State University
	Two-Stage Bayesian Approach for Fitting Animal Movement Models Hanna M McCaslin, Colorado State University; Abigail M Feuka, Colorado State University; Mevin Hooten, Colorado State University
	An Integrated Population Model for Spatial Capture-Recapture and Distance Sampling Data Narmadha Mohankumar, Kansas State University; Trevor J Hefley, Kansas State University; Katy Silber, Kansas State University; W. Alice Boyle, Kansas State University

246 *	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Withdrawn - Environmental Statistics in a Corporate World — Invited Papers
Section on Statistical Computing, Section on Statistics and the Environment, The International Environmetrics Society
Organizer(s): Matthew J. Heaton, Brigham Young University
2:45 PM	Floor Discussion

269 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Combining Information from Multiple Sources for Various Purposes — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Section on Statistics and the Environment
Organizer(s): Andreea Erciulescu, Westat
Chair(s): Weijia Ren, Westat
1:05 PM	Data Reconciliation and Estimation in an Agricultural Survey Habtamu Benecha, USDA/NASS; Linda J Young, NASS; Denise A Abreu, NASS; Rachael Jennings, USDA/NASS
1:25 PM	Sample-Based Calibration of Two Surveys Jean Opsomer, Westat; Andreea Erciulescu, Westat
1:45 PM	A Bridging Model to Reconcile Statistics Based on Data from Multiple Surveys Presentation Andreea Erciulescu, Westat; Jean Opsomer, Westat; Jay Breidt, Colorado State University
2:05 PM	Combining Multiple Data Sources for Erosion Estimation Emily Berg, Iowa State University
2:25 PM	Discussant: Carolina Franco, Census Bureau
2:45 PM	Floor Discussion

271 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Modeling and Uncertainty Quantification for Atmospheric Remote Sensing Retrievals — Topic Contributed Papers
Section on Physical and Engineering Sciences, Section on Statistics and the Environment, Uncertainty Quantification in Complex Systems Interest Group, Quality and Productivity Section
Organizer(s): Anirban Mondal, Case Western Reserve University
Chair(s): Matthias Katzfuss, Texas A&M University
1:05 PM	Bayesian Uncertainty Quantification for Atmospheric CO2 Retrieval Using Functional Principal Component Based Emulators Anirban Mondal, Case Western Reserve University; Jonathan Hobbs, Jet Propulsion Laboratory; Pulong Ma, The Statistical and Applied Mathematical Sciences Institute; Emily Kang, University of Cincinnati ; Bledar Konomi, University of Cincinnati
1:25 PM	Accounting for Model Discrepancy in CO2 Retrievals Jenny Brynjarsdottir, Case Western Reserve University
1:45 PM	Objective Frequentist Uncertainty Quantification for Atmospheric Carbon Dioxide Retrievals Mikael Kuusela, Carnegie Mellon University; Pratik Patil, Carnegie Mellon University; Jonathan Hobbs, Jet Propulsion Laboratory
2:05 PM	Functional ANOVA for Carbon Flux Estimates from Remote Sensing Data Jonathan Hobbs, Jet Propulsion Laboratory; Matthias Katzfuss, Texas A&M University; Hai Nguyen, Jet Propulsion Laboratory; Vineet Yadav, Jet Propulsion Laboratory
2:25 PM	Forward Model Emulation for NASA’s Microwave Limb Sounder Margaret Johnson, Jet Propulsion Laboratory; Joaquim Teixeira, Jet Propulsion Laboratory; Nathaniel Livesey, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
2:45 PM	Floor Discussion

274 *	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Analysis of Large Time Series of Remotely Sensed Environmental Measurements: Tales of the Collision Between Statistics, Remote Sensing and Geo-Computation — Topic Contributed Papers
Section on Statistics and the Environment, Section on Statistical Computing, ASA Advisory Committee on Climate Change Policy
Organizer(s): David S. Matteson, Cornell University
Chair(s): Joseph Guinness, Cornell University
1:05 PM	Multi-Temporal Abrupt Change Estimation on Landsat Time Series Imagery: Determining Burned Areas in La Primavera, Mexico Inder Tecuapetla, CONABIO; Gabriela Villamil-Cortez, National Commission for the Knowledge and Use of Biodiversity; María Isabel Cruz-López, National Commission for the Knowledge and Use of Biodiversity
1:25 PM	A Computationally Efficient Method for Fitting Big Data Spatio-Temporal Log-Gaussian Cox Processes Megan Gelsinger
1:45 PM	Embedding Spatial Variability in Rainfall Field Reconstruction Luis Rosales Marticorena, ESAN University
2:05 PM	Using Earth Observation Time Series to Analyze Vegetation Biophysical Parameters Gerardo Lopez Saldana, Assimila Ltd
2:25 PM	On the Spatial and Temporal Shift in the Archetypal Seasonal Temperature Cycle as Driven by Annual and Semi-Annual Harmonics Joshua North, University of Missouri; Christopher Wikle, University of Missouri; Erin Schliep, University of Missouri
2:45 PM	Floor Discussion

288 *	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
The New Era of Ecological Statistics — Invited Papers
Section on Statistics and the Environment, Caucus for Women in Statistics, Section on Bayesian Statistical Science
Organizer(s): Mevin Hooten, Colorado State University
Chair(s): Jun Zhu, University of Wisconsin
10:05 AM	A Spatio-Temporal Model for Multivariate Occupancy Data Staci Hepler, Wake Forest University; Robert Erhardt, Wake Forest University
10:30 AM	The Scope of Statistical Methods in Ecology: A Case Study in Sports Erin Schliep, University of Missouri
10:55 AM	New Methods for Inference in Regression with Network Outcomes, with Applications to Barn Swallow Social and Paternity Data Bailey Fosdick, Colorado State University
11:20 AM	Bridging the Gaps Between Mechanistic and Phenomenological Modeling for Ecological Applications Leah R Johnson, Virginia Polytechnic and State University
11:45 AM	Floor Discussion

359	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Advances in Spatial and Spatio-Temporal Statistics — Contributed Papers
Section on Statistics and the Environment
Chair(s): Erin Schliep, University of Missouri
	Lagrangian Spatio-Temporal Nonstationary Covariance Functions Mary Lai Salvana, KAUST; Marc Genton, KAUST
	DeepKriging: A Spatially Dependent Deep Neural Networks for Spatial Prediction Presentation Yuxiao Li, King Abdullah University of Science and Technology; Ying Sun, King Abdullah University of Science and Technology (KAUST); Brian Reich, North Carolina State University
	Uncertainty Quantification and Inference for Spatio-Temporal Forecasting via Echo State Mixture Density Networks with Relevance Propagation Ranadeep Daw, University of Missouri; Christopher Wikle, University of Missouri
	Gaussian Processes and Boosting: An Impossible Marriage? Fabio Sigrist
	Hierarchical Sparse Cholesky Decomposition with Applications to High-Dimensional Spatio-Temporal Filtering Marcin Jurek, Texas A & M University; Matthias Katzfuss, Texas A&M University
	A Spectral Method for Non-Gridded Univariate and Multivariate Spatial Data Using Monte Carlo Integration Matthew Miller, North Carolina State University; Brian Reich, North Carolina State University
	Spatial Statistical Methods to Assess the Relationship Between Water Violations and Poverty at the County Level: In America, Who Has Access to Clean Water? Ruby Bayliss, Drexel University; Loni Tabb, Drexel University
	Multilevel Indicator Kriging for Non-Gaussian Random Fields Gaurav Agarwal, King Abdullah University of Science and Technology; Ying Sun, King Abdullah University of Science and Technology (KAUST)

450 * !	Thu, 8/6/2020, 10:00 AM - 11:50 PM	Virtual
Uncertainty Quantification for Environmental Applications — Topic Contributed Papers
Section on Statistics and the Environment, Section on Physical and Engineering Sciences, ASA Advisory Committee on Climate Change Policy
Organizer(s): Whitney Huang, Clemson University
Chair(s): Veronica J Berrocal, University of California, Irvine
10:05 AM	Compression of Climate Simulations with a Nonstationary Global Spatio-Temporal SPDE Model Stefano Castruccio, University of Notre Dame; Geir-Arne Fuglstad, Norwegian University of Science and Technology
10:25 AM	Calibrating a WRF-Hydro Model Using a New Deep Learning-Based Calibration Method Won Chang, University of Cincinnati; Saumya Bhatnagar, Univ of Cincinnati - Cincinnati, OH; Jiali Wang, Argonne National Laboratory; Seonjin Kim, Miami University
10:45 AM	A Combined Physical-Statistical Approach for Estimating Storm Surge Risk Whitney Huang, Clemson University; Taylor Asher, University of North Carolina at Chapel Hill; Richard Luettich, University of North Carolina at Chapel Hill; Richard Smith, University of North Carolina at Chapel Hill
11:05 AM	Statistical Space-Time Characterization of Sub-Grid Air-Sea Exchanges Variability Including Scale Information Julie Bessac, Argonne National Laboratory; Adam Monahan, University of Victoria; Nils Weitzel, Universität Heidelberg; Kota Endo, University of Victoria; Hannah Christensen, University of Oxford
11:25 AM	Model Based Pixel-Level Satellite Image Fusion Zhengyuan Zhu, Iowa State University
11:45 AM	Floor Discussion

458 *	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Models for Spatial and Environmental Data — Contributed Papers
Section on Statistics and the Environment
Chair(s): Adam Walder, Pennsylvania State Unversity
	A Family of Partial-Linear Single-Index Models for Analyzing Complex Environmental Exposures with Continuous, Categorical, Time-to-Event, and Longitudinal Health Outcomes Presentation Yuyan Wang, NYU Langone Medical Center; Yinxiang Wu, NYU Langone Medical Center; Myeonggyun Lee, NYU Langone Medical Center; Peng Jin, New York University; Leonardo Trasande, NYU Langone Medical Center; Mengling Liu, NYU Langone Medical Center; Melanie Jacobson, NYU Langone Medical Center
	Recovering Individual-Level Spatial Inference from Aggregated Binary Data Nelson Walker, Kansas State University; Trevor J Hefley, Kansas State University; Anne Ballmann, U.S. Geological Survey - National Wildlife Health Center; Robin Russell, U.S. Geological Survey - National Wildlife Health Center; Daniel Walsh, U.S. Geological Survey - National Wildlife Health Center
	Spatial Analysis of Interval-Valued Symbolic Data Presentation Austin Kane Workman, Baylor University; Joon Jin Song, Baylor University
	Quantile Regression for Exposure Data with Repeated Measures in the Presence of Non-Detects Presentation I-Chen Chen, National Institute for Occupational Safety and Health; Stephen J. Bertke, National Institute for Occupational Safety and Health; Brian D. Curwin, National Institute for Occupational Safety and Health
	A Bayesian Hidden Semi-Markov Model with Covariate-Dependent State Duration Intensities Shirley Rojas Salazar, University of Missouri; Erin Schliep, University of Missouri; Christopher Wikle, University of Missouri
	Multimodel Inference: Acknowledging Practical Limitations for Explanatory Research Presentation Katharine Banner, Montana State University; Megan Higgs, Critical Inference, LLC
	Sparse Gaussian Process for Sensitivity Analysis on Spatial Data with Correlated Inputs Oluwole Oyebamiji, Lancaster University

459 *	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Methods and Computing for Spatial and Spatio-Temporal Data — Contributed Papers
Section on Statistics and the Environment
Chair(s): Katharine Banner, Montana State University
	Parameter Estimation for Multivariate Geostatistical Processes Nathaniel Onnen, Ohio State Univ
	Copula-based Correlation Structure for Multivariate Emission Distributions in Hidden Markov Models Reetam Majumder, University of Maryland Baltimore County; Nagaraj K Neerchal, University of Maryland, Baltimore County; Matthias K Gobbert, University of Maryland, Baltimore County; Amita Mehta, Joint Center for Earth Systems Technology, UMBC; Gerson Kroiz, University of Maryland, Baltimore County
	Bayesian Analysis Applied on Particulate Matter Measurement Data Shailendra Banerjee, Centers for Disease Control; Gregory M. Zarus, ATSDR
	Estimation of Solar-Induced Chlorophyll Fluorescence Yield of Various Vegetation Land Types Using a Spatially Varying Coefficient Model. Mauricio Campos; Bo Li, University of Illinois at Urbana-Champaign; Kaiyu Guan, University of Illinois at Urbana Champaign; Cong Wang, University of Illinois at Urbana Champaign
	Spatio-Temporal Analysis by Frequency Separation: Approach and Research Design Edward L Valachovic, University at Albany, State University of New York
	Multivariate Spatial Data Modeling with Latent Dimensions Wenlong Gong

503	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Climate and Meteorological Statistics — Contributed Papers
Section on Statistics and the Environment
Chair(s): Staci Hepler, Wake Forest University
	Constructing daily, high-resolution, bias-corrected climate products: a comparison of methods Presentation Maike Holthuijzen, University of Vermont; Brian Beckage, University of Vermont; Dave Higdon, Virginia Tech; Patrick J Clemins, University of Vermont; Jonathan Winter, Dartmouth College
	Improved Observation-Based Simulations of Temperature and Humidity Accounting for Projected Changes from a Climate Model Presentation Andrew Poppick, Carleton College; Karen Aline McKinnon, University of California, Los Angeles
	Conjugate Spatio-Temporal Bayesian Multinomial Polya-Gamma Regression for the Reconstruction of Climate Using Pollen John Tipton
	Identifying Meteorological Factors Associated with High PM_2.5 Levels via a Bayesian Spatial Quantile Regression Stella Coker Watson Self, University of South Carolina; Christopher McMahan, Clemson University; Brook Russell, Clemson University
	Bootstrap-Based Identification of the Surface Impact of Sudden Stratospheric Warmings Presentation Jessica Oehrlein, Columbia University; Lorenzo M. Polvani, Columbia University; Clara Deser, National Center for Atmospheric Research
	A Study of Snow Water Equivalent in the Sierra Nevada of California, Using Snow Pillow Data Wendy Meiring, University of California, Santa Barbara; Eduardo L. Montoya, California State University Bakersfield; Jeff Dozier, University of California Santa Barbara
	Bayesian Hierarchical Models for Statistical Downscaling of Climate Models Ayesha Kumari Ekanayaka Katugoda Gedara, University of Cincinnati; Emily Kang, University of Cincinnati ; Peter Kalmus, NASA Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
	A Nonparametric Bootstrap Approach for Evaluating Climate Model Accuracy Joshua French, University of Colorado-Denver; Piotr Kokoszka, Colorado State University

504	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Spatial Modeling on the Sphere and Over Large Domains — Contributed Papers
Section on Statistics and the Environment
Chair(s): Matthew Miller, North Carolina State University
	Modeling a Tangential Vector Random Field on a Sphere: Application to Earth’s Magnetic Field Presentation Amy Kim, University of California, Davis; Debashis Paul, University of California, Davis; Thomas Lee, University of California, Davis; Tomoko Matsuo, University of Colorado, Boulder
	A Bayesian Gaussian spatial-scale mixture model for short-range extremal dependence and long-range extremal independence, with application to heavy rainfall in Bangladesh Arnab Hazra, King Abdullah University of Science and Technology; Raphael Huser, King Abdullah University of Science and Technology (KAUST); David Bolin, King Abdullah University of Science and Technology
	The Trend in New England Weather Andrew Disher, Bridgewater State University; Wanchunzi Yu, Bridgewater State University
	Test for Isotropy on a Sphere Using Spherical Harmonic Coefficients Indranil Sahoo, Virginia Commonwealth University; Joseph Guinness, Cornell University; Brian Reich, North Carolina State University
	Bayesian Modeling and Preferential Sampling Techniques for Quantifying Ocean Heat Content from Argo Data Samuel Baugh, University of California-Los Angeles
	Analysis of Temperature Variability Across the US from 1960-2019 Ronald Tracy, Oakland Univ

562 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Statistical Methods for Multivariate Spatial and Spatio-Temporal Models with Application to the Environment — Invited Papers
Section on Statistics and the Environment, Section on Physical and Engineering Sciences, Uncertainty Quantification in Complex Systems Interest Group, Quality and Productivity Section
Organizer(s): Peter F. Craigmile, The Ohio State University
Chair(s): Peter F. Craigmile, The Ohio State University
3:05 PM	Evaluating Proxy Influence in Assimilated Paleoclimate Reconstructions: Testing the Exchangeability of Two Ensembles of Spatial Processes Bo Li, University of Illinois at Urbana-Champaign; Trevor Harris, University of Illinois at Urbana-Champaign; Nathan Steiger, Columbia University; Jason Smerdon, Columbia University; Naveen Narisetty, University of Illinois at Urbana-Champaign; Derek Tucker, Sandia National Lab
3:30 PM	Inference for Max-Stable Processes Based on the Vecchia Approximation, with Application to Red Sea Surface Temperature Extremes Raphael Huser, King Abdullah University of Science and Technology (KAUST); Michael Stein, Rutgers University
3:55 PM	A Stochastic Tropical Cyclone Precipitation Field Generator William Kleiber, University of Colorado; Steve Sain, Jupiter Intelligence
4:20 PM	Multivariate Spatio-Temporal Point Process Models for Terrorism Patterns Mikyoung Jun, Texas A&M University
4:45 PM	Floor Discussion

564 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Solving Environmental Problems Through Data Assimilation — Invited Papers
International Indian Statistical Association, Section on Statistics and the Environment, The International Environmetrics Society
Organizer(s): Surajit Ray, University of Glasgow
Chair(s): Ben Seiyon Lee, Penn State University
3:05 PM	Developing Statistical Downscaling to Improve Water Quality Understanding and Management in the Ramganga Sub-Basin Surajit Ray, University of Glasgow; Marian Scott, University of Glasgow; Claire Miller , University of Glasgow
3:30 PM	Robust and Efficient Analysis Approaches of Remote Imagery for Assessing Population and Forest Health in India Carola-Bibiane Schönlieb, University of Cambridge; David Coomes, University of Cambridge; James Woodcock, University of Cambridge
4:05 PM	Spatio-temporal Bayesian modeling of precipitation using rain gauge data from the Hubbard Brook Experimental Forest, New Hampshire, USA Sujit Kumar Sahu, University of Southampton; Khandoker Shuvo Bakar, CSIRO, Data 61
4:35 PM	Floor Discussion

587	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Ocean Statistical Methodology and Application — Topic Contributed Papers
Section on Statistics and the Environment
Organizer(s): Sangwon Hyun, University of Southern California
Chair(s): Jacob Bien, University of Southern California
3:05 PM	Spatio-Temporal Local Interpolation for Quantifying Global Ocean Heat Transport from Autonomous Observations Beomjo Park, Carnegie Mellon University; Mikael Kuusela, Carnegie Mellon University; Donata Giglio, University of Colorado Boulder; Alison Gray, University of Washington
3:25 PM	Time Series, Spectral Analysis, and Spatial Modeling, of Ocean Drifter Data Adam Sykulski, Lancaster University
3:45 PM	A Functional-Data Approach to the Argo Data Presentation Andrew Yarger, University of Michigan; Stilian Stoev, University of Michigan; Tailen Hsing, University of Michigan
4:05 PM	Joint Modeling of Continuous Flow Cytometry Data with Environmental Covariates Sangwon Hyun, University of Southern California; Jacob Bien, University of Southern California; Mattias Rolf Cape, School of Oceanography at the University of Washington; Francois Ribalet, School of Oceanography at the University of Washington
4:25 PM	Marine Data Mining with CMAP Using R Aditya Mishra, Flatiron Institute; Christian L. Müller, Flatiron Institute, Simons Foundation
4:45 PM	Floor Discussion

JSM 2020 Online Program

Activity Details

American Statistical Association